MoD-Embedding
Can I run MoD-Embedding on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 15 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
MoD-Embedding is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.
As of the recorded file availability check on .
Recorded SHA-256 for model-00001-of-00002.safetensors: dc1b84237653ba7210ee1f09702ff3b95879f10cd9cb618a6ec53e92e96661cd. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.
Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
bflhc/MoD-Embedding包含内容
15 hosted of 16 listed
关于此模型
External Hugging Face catalog record for bflhc/MoD-Embedding. Task: sentence similarity. Library: sentence transformers. Languages: en, zh, multilingual. Base model: Qwen/Qwen3-Embedding-4B. Popularity signal at import: 481 downloads and 2 likes.
基本信息
- Hosted here
- 15 hosted of 16 listed
- Full repo upstream
- 8.06 GB
- Languages
- en, zh, multilingual
- Format
- safetensors
- File hashes
- Hashes recorded. Date not recorded.
许可证与来源
License: apache-2.0
15 hosted of 16 listed
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- sentence similarity and retrieval
- Hosted here
- at least 15 listed files; full count and size unknown
- Full repo upstream
- 8.06 GB
- Files
- 15 hosted of 16 listed
- Download
- Download here (15 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- bflhc/MoD-Embedding
FAQ
What is this model?
bflhc/MoD-Embedding is an embedding model for sentence similarity and retrieval published by bflhc, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: bflhc/MoD-Embedding · sentence transformers
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: at least 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB.
What can I download here?
Hosted here: at least 15 listed files; full count and size unknown. Full repo upstream: 8.06 GB. The original release is at https://huggingface.co/bflhc/MoD-Embedding.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-bflhc-mod-embedding/safety on Hugging Bay.
Will bflhc/MoD-Embedding run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.